Application of Unscented Transform for Efficient Calculation of Statistics for Electromagnetic Transients

Autor:	Math Bollen, Oscar Lennerhag
Rok vydání:	2022
Předmět:	Electric power system Computer science Monte Carlo method Statistical parameter Energy Engineering and Power Technology Unscented transform Statistical physics Electrical and Electronic Engineering
Zdroj:	IEEE Transactions on Power Delivery. 37:3469-3476
ISSN:	1937-4208 0885-8977
DOI:	10.1109/tpwrd.2021.3129538
Popis:	Uncertainties in power system studies are typically managed by Monte Carlo methods or by applying some worst case assumptions. As the number of uncertainties increases, there is a need for methods that can estimate statistical parameters from a limited number of calculations. This paper utilizes a method called the Unscented Transform together with Cornish-Fisher expansion to estimate the 2%-value of switching overvoltages using only about one tenth the number of calculations as a Monte Carlo method, with similar accuracy. The uncertainties considered are the energizing instants of the three phases. The method is illustrated through EMT simulations in PSCAD and it is shown to provide a good approximation of the 2%-value in most of the studied cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4150a2da9d482c48f8624bc73f921800 https://doi.org/10.1109/tpwrd.2021.3129538 Zobrazit plný text záznamu